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The Role of decision-analytic modelling in German health technology assessments.

Kuhlmann A, Treskova M, Braun S, Graf von der Schulenburg JM - Health Econ Rev (2015)

Bottom Line: Our study examines the use of DAM in DIMDI HTA reports and its effect on the quality of information provided for health policies.In the group without DAM, conclusions were limited by the quality of economic information in 51.1% of the reports, whereas we did not find limited conclusions in the group with DAM.The use of DAM techniques can improve the quality of HTAs in Germany.

View Article: PubMed Central - PubMed

Affiliation: Center for Health Economics Research Hannover (CHERH), Leibniz Universität Hannover, Hannover, Germany.

ABSTRACT

Background: Decision-analytic modelling (DAM) has become a widespread method in health technology assessments (HTA), but the extent to which modelling is used differs among international HTA institutions. In Germany, the use of DAM is optional within HTAs of the German Institute of Medical Documentation and Information (DIMDI). Our study examines the use of DAM in DIMDI HTA reports and its effect on the quality of information provided for health policies.

Methods: A review of all DIMDI HTA reports (from 1998 to September 2012) incorporating an economic assessment was performed. All included reports were divided into two groups: HTAs with DAM and HTAs without DAM. In both groups, reports were categorized according to the quality of information provided for healthcare decision making.

Results: Of the sample of 107 DIMDI HTA reports, 17 (15.9%) used DAM for economic assessment. In the group without DAM, conclusions were limited by the quality of economic information in 51.1% of the reports, whereas we did not find limited conclusions in the group with DAM. Furthermore, 24 reports without DAM (26.7%) stated that using DAM would likely improve the quality of information of the economic assessment.

Conclusion: The use of DAM techniques can improve the quality of HTAs in Germany. When, after a systematic review of existing literature within a HTA, it is clear that DAM is likely to positively affect the quality of the economic assessment DAM should be used.

No MeSH data available.


Selection process for report inclusion. *As of September 2012.
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Fig1: Selection process for report inclusion. *As of September 2012.

Mentions: In the period from 1998 to September 2012, 158 DIMDI–HTA reports were conducted, published and indexed in the DAHTA database. Of these, 20 methodological reports were excluded during the screening process. Another 31 reports did not meet the inclusion criterion of an economic assessment of the health technology. The resulting sample of 107 HTA reports was divided into reports that include the development of a new model for the German healthcare system and those that only performed a systematic literature review for economic assessment. In total, 17 HTA reports (approximately 16%) developed such a model, whereas the other 90 reports did not. Figure 1 summarizes the selection procedure (A list of all identified reports is presented in the Additional file 1: Table S2 to Table S5).Figure 1


The Role of decision-analytic modelling in German health technology assessments.

Kuhlmann A, Treskova M, Braun S, Graf von der Schulenburg JM - Health Econ Rev (2015)

Selection process for report inclusion. *As of September 2012.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4385016&req=5

Fig1: Selection process for report inclusion. *As of September 2012.
Mentions: In the period from 1998 to September 2012, 158 DIMDI–HTA reports were conducted, published and indexed in the DAHTA database. Of these, 20 methodological reports were excluded during the screening process. Another 31 reports did not meet the inclusion criterion of an economic assessment of the health technology. The resulting sample of 107 HTA reports was divided into reports that include the development of a new model for the German healthcare system and those that only performed a systematic literature review for economic assessment. In total, 17 HTA reports (approximately 16%) developed such a model, whereas the other 90 reports did not. Figure 1 summarizes the selection procedure (A list of all identified reports is presented in the Additional file 1: Table S2 to Table S5).Figure 1

Bottom Line: Our study examines the use of DAM in DIMDI HTA reports and its effect on the quality of information provided for health policies.In the group without DAM, conclusions were limited by the quality of economic information in 51.1% of the reports, whereas we did not find limited conclusions in the group with DAM.The use of DAM techniques can improve the quality of HTAs in Germany.

View Article: PubMed Central - PubMed

Affiliation: Center for Health Economics Research Hannover (CHERH), Leibniz Universität Hannover, Hannover, Germany.

ABSTRACT

Background: Decision-analytic modelling (DAM) has become a widespread method in health technology assessments (HTA), but the extent to which modelling is used differs among international HTA institutions. In Germany, the use of DAM is optional within HTAs of the German Institute of Medical Documentation and Information (DIMDI). Our study examines the use of DAM in DIMDI HTA reports and its effect on the quality of information provided for health policies.

Methods: A review of all DIMDI HTA reports (from 1998 to September 2012) incorporating an economic assessment was performed. All included reports were divided into two groups: HTAs with DAM and HTAs without DAM. In both groups, reports were categorized according to the quality of information provided for healthcare decision making.

Results: Of the sample of 107 DIMDI HTA reports, 17 (15.9%) used DAM for economic assessment. In the group without DAM, conclusions were limited by the quality of economic information in 51.1% of the reports, whereas we did not find limited conclusions in the group with DAM. Furthermore, 24 reports without DAM (26.7%) stated that using DAM would likely improve the quality of information of the economic assessment.

Conclusion: The use of DAM techniques can improve the quality of HTAs in Germany. When, after a systematic review of existing literature within a HTA, it is clear that DAM is likely to positively affect the quality of the economic assessment DAM should be used.

No MeSH data available.